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Prompt templates can be designed for various NLP tasks, including machine translation. To frame translation as a text generation problem, a template can be used to instruct the model. For example, to translate an English sentence into Chinese, the following template could be used, where `{*sentence*}` is a placeholder for the input text:

`{*sentence*} Question: What is the Chinese translation of this English sentence? Answer:`

Example of a Prompt Template for Machine Translation

A developer is creating a feature for an e-commerce platform that automatically translates customer reviews written in Spanish into English. The goal is to provide clear and natural-sounding translations for English-speaking users. Based on your understanding of how to structure instructions for a language model, design a specific prompt template to accomplish this task. In your answer, you must provide the complete template, including a placeholder for the original review text, and briefly justify why your chosen structure is effective for this scenario.

Designing a Prompt Template for E-commerce Review Translation

A developer is using the following prompt template to translate English sentences into German for a conversational AI: `Translate: {*sentence*}`. However, the model sometimes responds with a translation, but other times it simply defines the word 'Translate' or continues the English sentence. Analyze this template and explain why it might be producing these inconsistent outputs. Finally, propose a revised, more explicit template that would likely yield better results.

Debugging a Machine Translation Prompt Template

Consider two different approaches for instructing a language model to translate an English sentence to French. 

Approach A: `"{english_sentence}" Question: What is the French translation of this English sentence? Answer:`

Approach B: `Translate the following English sentence to French: {english_sentence}`

Which statement best analyzes the fundamental difference in how these two approaches frame the translation task for the model?

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